Paper
21 December 2023 Performance analysis of the space-time adaptive processing for distributed space-borne multiple-input multiple-output radar
Zhiwei Yang, Xiangyu Wu, Xianghai Li, Di Jiang, Taisheng Wu
Author Affiliations +
Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 1297009 (2023) https://doi.org/10.1117/12.3012222
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China
Abstract
Space-time adaptive processing (STAP) has been extended to the distributed space-borne multiple-input multiple-output (MIMO) radar system to improve the detection performance. Nevertheless, the transmitting waveforms are not completely orthogonal to each other, resulting in the STAP performance deterioration. In this paper, we established a novel STAP performance analysis model to reveal the influence mechanism of waveform properties. Firstly, the signal model of distributed space-borne radar with hybrid baseline and yaw angle was presented. Then, we derived the characteristic of the clutter covariance matrix for post-Doppler STAP, considering the effect of waveform periodic autocorrelation and cross-correlation sidelobe. Finally, the numerical simulation results, based on indicators of clutter eigenvalue spectrum and output signal-to-noise ratio loss, demonstrated the accuracy of the proposed analysis model. The aforementioned results provide important basis for the design of distributed space-borne MIMO radar system.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Zhiwei Yang, Xiangyu Wu, Xianghai Li, Di Jiang, and Taisheng Wu "Performance analysis of the space-time adaptive processing for distributed space-borne multiple-input multiple-output radar", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 1297009 (21 December 2023); https://doi.org/10.1117/12.3012222
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KEYWORDS
Clutter

Multiple input multiple output

Radar

Satellites

Radar signal processing

Covariance matrices

Orthogonal frequency division multiplexing

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